In a sample of 50 business trips taken by employees in the HR department, a comp

Question

In a sample of 50 business trips taken by employees in the HR department, a company finds that the average amount spent for the trips was exist1450 with a standard deviation of exist450. In a sample of 90 trips taken by the employees in the sales department is exist1650 with a standard deviation of exist550. When testing the hypothesis (at the 5% level of significance) that the variance of the amount spent on trips is significantly larger in one department than the other, if the p-value 0.063, what is your conclusion concerning the null hypothesis Reject the null hypothesis Fail to reject the null hypothesis Prior to a set of compensation policy changes at a company 30% of the employees surveyed said that they liked their job very much, 50% said that they liked their job moderately, and the remaining employees said that they were dissatisfied with their job. Now, in a survey of 200 employees, 76 said they liked their job very much, 105 said that they liked their job moderately, and the remaining employees said that they were dissatisfied with their job. When testing (at the 5% level of significance) whether the proportions have changed, what is the null and alternative hypotheses? (please write out the null and alternative hypotheses below AND on your scratch work... failure to do BOTH will result in)

Explanation / Answer

given that if p value is 0.063 at alpha=0.05

it is larger than alpha value

failed to reject null hypothesis

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